Python Scripting Practice Exam

Python Scripting refers to the practice of writing scripts in Python programming language so as to to automate repetitive tasks. The scripts are used for system administration, web scraping, data manipulation, or any repetitive tasks which can be automated and needs negligible human input. The practice involves writing scripts using Python's programming features.

Certification in Python Scripting certifies your skills and knowledge in using Python for writing scripts and automating tasks. The certification assess you in core Python programming, Python's libraries, and developing scripts to automate workflows and tasks.

Why is Python Scripting certification important?

• The certification validates your skills and knowledge of writing Python scripts for automation.
• Increases your career prospects in system administration
• Provides you credibility as an expert in Python scripting.
• Makes you more competitive in the DevOps job market.
• Acts as an proof of your Python skills.
  
• Adds to your credibility for senior roles.

Who should take the Python Scripting Exam?

• Python Developer
• Software Engineer
• System Administrator
• DevOps Engineer
• Automation Engineer
• Data Analyst
• Web Scraping Specialist
• Cloud Engineer
• IT Specialist
• Data Scientist

Skills Evaluated

Candidates taking the certification exam on the Python Scripting is evaluated for the following skills:

• Python Syntax and Programming
• Automation of Tasks
• File Handling
• Working with Libraries and Modules
• Debugging and Error Handling
• System Integration
• Web Scraping and APIs
• Data Processing
• Performance Optimization
• Working with Databases
  

Python Scripting Certification Course Outline
The course outline for Python Scripting certification is as below -

 

Domain 1 - Python Basics

• Python syntax, variables, data types
• Operators, expressions, and control flow (if-else, loops)
• Functions and modules in Python
• List, dictionary, tuple, set, and string handling

 

Domain 2 - Automation and Scripting Techniques

• Automating system tasks (e.g., file handling, scheduling tasks)
• Writing scripts for file and directory management
• Automating data collection and processing

 

Domain 3 - Working with Libraries and Modules

• Using built-in libraries: os, sys, subprocess, datetime, and more
• Installing and using third-party libraries
• Using Python for interacting with the system shell and executing commands

 

Domain 4 - Error Handling and Debugging

• Exception handling: try-except blocks
• Debugging Python scripts using debugging tools
• Writing error logs and handling errors gracefully

 

Domain 5 - File Handling and Data Processing

• Reading and writing text and binary files
• Parsing and processing data from files (CSV, JSON, XML)
• Working with large datasets and optimizing performance

 

Domain 6 - Web Scraping and APIs

• Web scraping using BeautifulSoup, Scrapy, and requests
• Handling APIs and making HTTP requests with Python
• Storing and processing web data

 

Domain 7 - Data Analysis and Processing

• Using Python libraries like Pandas for data manipulation
• Data analysis techniques and data transformation
• Handling and processing data from various formats (CSV, JSON, SQL)

 

Domain 8 - Working with Databases

• Connecting Python to databases: SQLite, MySQL, MongoDB
• Querying databases using Python
• Performing CRUD operations using Python and SQLAlchemy

 

Domain 9 - Networking and System Administration

• Network configuration and monitoring scripts
  
• System administration tasks
• Automation

 

Domain 10 - Optimization

• Execution time and memory usage
• Performance profiling
  
• Generators